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  1. Journal of Applied Sciences
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  3. 336-344
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Journal of Applied Sciences

Year: 2012 | Volume: 12 | Issue: 4 | Page No.: 336-344
DOI: 10.3923/jas.2012.336.344

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Authors


Majid Azadi

Country: Iran

Reza Farzipoor Saen

Country: Iran

Keywords


  • chance-constrained programming
  • Data envelopment analysis
  • Russell measure
  • stochastic data
  • supplier selection
Research Article

Supplier Selection using a New Russell Model in the Presence of Undesirable Outputs and Stochastic Data

Majid Azadi and Reza Farzipoor Saen
Supplier selection is one of the significant topics in Supply Chain Management (SCM). One of the techniques that can be used for selecting suppliers is Data Envelopment Analysis (DEA). In this study, to handle uncertainty in supplier selection problem, a new Russell model in the presence of undesirable outputs and stochastic data is developed. This study proposed a deterministic equivalent of the stochastic model and convert this deterministic problem into a quadratic programming problem. This quadratic programming problem is then solved using algorithms available for this class of problems. A numerical example is presented to demonstrate the applicability of the proposed approach.
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How to cite this article

Majid Azadi and Reza Farzipoor Saen, 2012. Supplier Selection using a New Russell Model in the Presence of Undesirable Outputs and Stochastic Data. Journal of Applied Sciences, 12: 336-344.

DOI: 10.3923/jas.2012.336.344

URL: https://scialert.net/abstract/?doi=jas.2012.336.344

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